Live Demonstration: SRAM Compute-In-Memory Based Visual & Aural Recognition System
- Resource Type
- Conference
- Authors
- Fan, Anjunyi; Hu, Bo; Jin, Zhonghua; Han, Haiyue; Zhang, Yaojun; Yang, Yue; Yang, Yuchao; Yan, Bonan; Huang, Ru
- Source
- 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS) Artificial Intelligence Circuits and Systems (AICAS), 2023 IEEE 5th International Conference on. :1-2 Jun, 2023
- Subject
- Bioengineering
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Performance evaluation
Visualization
Face recognition
Random access memory
Signal processing
Real-time systems
Energy efficiency
Compute-In-Memory
Processing-In-Memory
SRAM
Accelerator
- Language
- ISSN
- 2834-9857
We propose a live demonstration at AICAS’2023 for commercial SRAM compute-in-memory (CIM) accelerators. This live demonstration includes both visual and aural signal processing and classification performed by SRAM-based CIM engines. The visual part is a low-power face recognition platform, which can display and detect the audience’s faces in real-time. The aural part is a key word spotting engine, with which the audience can interact and control the device for designated tasks (such as "volume up" and "volume down"). This live demonstration is interactive and can bring a live feeling of energy efficiency improvement using the commercial CIM accelerators.